Lectures

Lecture 1: Introduction to “data”

1.1 Course intro

1.2 Practical information

1.3 Data

Lecture 2: More on Data & Introduction to probability

2.1 More practical info

2.2 More on data

2.3 Introduction to probability

Lecture 3:

3.1 Exam info

3.2 More probability

3.3 What is statistics?

Lecture 4:

4.1 Probability distributions

4.2 Summarizing data

Lecture 5:

5.1 Models

5.2 Models in R

Lecture 6:

6.1 Model dummies & interactions

6.2 Model fit

Lecture 7

7.1 central tendency

7.2 dispersion

Lecture 8

8.1 sampling and confidence intervals

8.2 hypothesis testing and significance

Lecture 9

9.1 Central limit theorem

9.2 Interpreting regression results

Lecture 10

9.1 Logistic regression

9.2 More than two categories

Lecture 11

11.1 Polynomial regression

11.2 Interpreting models